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Tractable Reasoning with DL-Programs over Datalog-rewritable Description Logics

机译:DL-Programe在Datalog-可重写描述逻辑上使用DL-Progress的贸易

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The deployment of KR formalisms to the Web has created the need for formalisms that combine heterogeneous knowledge bases. Nonmonotonic dl-programs provide a loose integration of Description Logic (DL) ontologies and Logic Programming (LP) rules with negation, where a rule engine can query an ontology with a native DL reasoner. However, even for tractable dl-programs, the overhead of an external DL reasoner might be considerable. To remedy this, we consider Datalog-rewritable DL ontologies, i.e., ones that can be rewritten to Datalog programs, such that dl-programs can be reduced to Datalog, i.e, Datalog with negation, under well-founded semantics. To illustrate this framework, we consider several Data log-rewritable DLs. Besides fragments of the tractable OWL 2 Profiles, we also present LDL~+ as an interesting DL that is tractable while it has some expressive constructs. Our results enable the usage of DBLP technology to reason efficiently with dl-programs in presence of negation and recursion, as a basis for advanced applications.
机译:对网络的kr形式主义部署已经创造了结合异构知识库的形式主义的需要。非单调DL-Programs提供了对描述逻辑(DL)本体和逻辑编程(LP)规则的宽松集成,其中规则引擎可以使用本机DL推理仪查询本体。然而,即使对于易诊的DL程序,外部DL推理的开销也可能相当可观。为了解决这个问题,我们考虑Datalog-可重写的DL Intologies,即可以重写为Datalog程序的那些,使得DL-Programs可以减少到Datalog,即DataLog,在良好创立的语义下。为了说明此框架,我们考虑几个数据对数可重写的DLS。除了贸易猫头鹰2档的碎片外,我们还将LDL〜+作为一个有趣的DL,它具有一些富有表现力的构造。我们的结果使DBLP技术的使用能够在存在否定和递归的情况下有效地使用DL-Program,作为高级应用的基础。

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